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Aim

Image Processing in the Tosca Project – Developing Internet Based Software for Screening and Diagnosis of Diabetic Retinopathy. Ole K Hejlesen 1 , Bernhard M Ege 1 , Karl-Hans Englmeier 2 , Steve Aldington 3 , Leo McCanna 4 , Toke Bek 5.

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Aim

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  1. Image Processing in the Tosca Project – Developing Internet Based Software for Screening and Diagnosis of Diabetic Retinopathy Ole K Hejlesen1, Bernhard M Ege1, Karl-Hans Englmeier2, Steve Aldington3, Leo McCanna4, Toke Bek5 1Department of Health Science and Technology, Aalborg University, Fredrik Bajersvej 7 D1, DK-9220 Aalborg, Denmark, 2GSF-MEDIS, Munich, Germany, 3Imperial College, London, UK, 4OCUCO Ltd. Dublin, Ireland 5Department of Ophthalmology, Aarhus University Hospital, Denmark

  2. Aim • to develop Internet based software and image data bases • for screening and diagnosis of diabetic retinopathy and • implementing it into a real life situation

  3. The work consisted of • Construction of an Internet based communication platform for transmitting and analyzing retinal images • Implementation of routines for • detecting the first microaneurysm (transition from normal to pathologic) • detecting patients needing referral for treatment (presence of venous beading or hard exudates near the fovea) • serial analysis (image alignment) • Construction of a reference image data base

  4. Communication structure

  5. Internet based communication platform – example: image alignment • Web Client – standard browser • Web Server – image analysis broker • Image Processing Servers – ex: image alignment

  6. Point matching Polynomial transf. Image warping Landmark extraction Image alignment Unaligned images Aligned images

  7. Cross validation results Deviation from “perfect”, i.e. the deviation of rotation, translation and mean distance from 0, and the deviation of scale from 1 (Cideciyan 1995).

  8. 100 + 50 + 50 + 50 +50 + 50 patients

  9. Results Validation of the reference image data base by double grading by two expert graders suggested a sensitivity and a specificity of just below 90% for any lesion and of more than 95% for predicting the overall retinopathy grade.

  10. Conclusion TOSCA-Imaging has succeeded in its primary aim of developing Internet based software and implementing it into a real life situation, integrating work within image processing done in four different European countries (England, Germany, Ireland, and Denmark) to be accessed from one Internet web site.

  11. Acknowledgements • The TOSCA Project was financed by EU's Fifth Framework IST Programme

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